Network equipment recommended placement based on entropy weight method and improved ideal point method distribution scheme design

Size Liu, Zhenxing Qi, Xinpei Liu, Fangke Lu
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Abstract

At present, data center security and energy consumption have been continuously concerned and discussed. There are some new technology to reduce energy consumption of data center, but few studies focus on make full use of the resources of the existing data center during routine maintenance to solve urgent problems such as low interest rate of distributed power supply resources, mismatch of power supply resources and space resources in cabinet, and unequal distribution of AC power supply systems. This paper focus on problems existing in data center, design a general distribution scheme to recommend network equipment optimal cabinet and location based on entropy weight method ,which combined with entropy weight method to optimize important attributes such as cabinet power utilization, cabinet space utilization, cabinet resource imbalance, and three-phase imbalance, recommend network equipment optimal cabinet and location totally depending on objective data, avoid the problem maintenance staff lack of experience or inconsiderate to make wrong decision effectively, achieve full utilization of data center power system resources and operation optimization. The scheme is verified to be effective, has certain guiding significance for network equipment location selected management in data center.
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基于熵权法和改进理想点法的网络设备推荐放置方案设计
目前,数据中心的安全和能耗问题一直受到人们的关注和讨论。目前已有一些降低数据中心能耗的新技术,但在日常维护中充分利用现有数据中心的资源,解决分布式电源资源利用率低、电源资源与机柜空间资源不匹配、交流供电系统分布不均等亟待解决的问题,研究较少。本文针对数据中心存在的问题,设计了一种基于熵权法的网络设备最优机柜和位置推荐的通用配电方案,该方案结合熵权法对机柜功率利用率、机柜空间利用率、机柜资源不均衡性、三相不均衡性等重要属性进行优化,完全依靠客观数据推荐网络设备最优机柜和位置。有效避免维护人员缺乏经验或考虑不周做出错误决策的问题,实现数据中心电力系统资源的充分利用和运行优化。该方案经验证是有效的,对数据中心网络设备选址管理具有一定的指导意义。
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